keras-io
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sentiment-analysis

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

merve HF staff commited on Feb 1, 2022

Commit

35b35d8

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1 Parent(s): 2a290ae

Training in progress epoch 3

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README.md +3 -2
tf_model.h5 +1 -1

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@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.6865
-- Validation Loss: 0.6976
 - Train Accuracy: 0.4908
-- Epoch: 2
 ## Model description
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.6865     | 0.6975          | 0.4908         | 0     |
 | 0.6865     | 0.6973          | 0.4908         | 1     |
 | 0.6865     | 0.6976          | 0.4908         | 2     |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.6865
+- Validation Loss: 0.6975
 - Train Accuracy: 0.4908
+- Epoch: 3
 ## Model description
 | 0.6865     | 0.6975          | 0.4908         | 0     |
 | 0.6865     | 0.6973          | 0.4908         | 1     |
 | 0.6865     | 0.6976          | 0.4908         | 2     |
+| 0.6865     | 0.6975          | 0.4908         | 3     |
 ### Framework versions

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